CAJ | 학술논문

分析脑电信号主要采用时频分析法,其中交叉项和分辨率是相互矛盾的两个因素.基于高时—频分辨率分析(High Time-Frequency Resolution Analysis,HTFRA)方法能够将这两者相结合.该方法以维格纳-威尔分布(Wigner-Ville Distribution,WVD)为基础,对Wigner-Ville分布的结果利用中心仿射滤波法进行非线性滤波,有效地消除了Wigner-Ville分布的交叉项干扰,而不影响信号的分辨率.对仿真信号采用传统的短时付氏变换、Wigner-Ville 分布及HTFRA 求时频能量分布,结果显示:HTFRA较传统的方法更清晰地反映信号在时频域内的能量变化.该方法使得脑电信号适用于各种分类算法.
분석뇌전신호주요채용시빈분석법,기중교차항화분변솔시상호모순적량개인소.기우고시—빈분변솔분석(High Time-Frequency Resolution Analysis,HTFRA)방법능구장저량자상결합.해방법이유격납-위이분포(Wigner-Ville Distribution,WVD)위기출,대Wigner-Ville분포적결과이용중심방사려파법진행비선성려파,유효지소제료Wigner-Ville분포적교차항간우,이불영향신호적분변솔.대방진신호채용전통적단시부씨변환、Wigner-Ville 분포급HTFRA 구시빈능량분포,결과현시:HTFRA교전통적방법경청석지반영신호재시빈역내적능량변화.해방법사득뇌전신호괄용우각충분류산법.
The way to analyze EEG signals is mainly the method of time-frequency analysis,of which cross terms and resolution are two contradictory factors. However,the high time-frequency resolution analysis (HTFRA) can combine both of them. The HTFRA is based on the Wigner-Ville distribution and effectively eliminate the cross of Wigner-Ville distribution without affecting the signal resolution by using the median affined filter method for nonlinear filtering. The simulated signals are analyzed with short-time Fourier transform,Wign-er-Ville distribution,and HTFRA respectively. The results indicate that HTFRA gives a better energy distribution in the time-frequency field compared with the traditional methods. This method is better applicable to the classification of EEG.